Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384346589> ?p ?o ?g. }
- W4384346589 abstract "Abstract The use of artificial intelligence and algorithmic decision-making in public policy processes is influenced by a range of diverse drivers. This article provides a comprehensive view of 13 drivers and their interrelationships, identified through empirical findings from the taxation and social security domains in Belgium. These drivers are organized into five hierarchical layers that policy designers need to focus on when introducing advanced analytics in fraud detection: (a) trust layer, (b) interoperability layer, (c) perceived benefits layer, (d) data governance layer, and (e) digital governance layer. The layered approach enables a holistic view of assessing adoption challenges concerning new digital technologies. The research uses thematic analysis and interpretive structural modeling." @default.
- W4384346589 created "2023-07-15" @default.
- W4384346589 creator A5001490352 @default.
- W4384346589 creator A5023094934 @default.
- W4384346589 creator A5025423870 @default.
- W4384346589 creator A5036747803 @default.
- W4384346589 creator A5041297155 @default.
- W4384346589 creator A5050985547 @default.
- W4384346589 creator A5051010495 @default.
- W4384346589 creator A5070059557 @default.
- W4384346589 date "2023-01-01" @default.
- W4384346589 modified "2023-09-26" @default.
- W4384346589 title "Artificial intelligence and algorithmic decisions in fraud detection: An interpretive structural model" @default.
- W4384346589 cites W1497226654 @default.
- W4384346589 cites W168200403 @default.
- W4384346589 cites W1791587663 @default.
- W4384346589 cites W1975916892 @default.
- W4384346589 cites W1979290264 @default.
- W4384346589 cites W1980569376 @default.
- W4384346589 cites W1996293917 @default.
- W4384346589 cites W2063206631 @default.
- W4384346589 cites W2068791795 @default.
- W4384346589 cites W2099697766 @default.
- W4384346589 cites W2100379340 @default.
- W4384346589 cites W2101419153 @default.
- W4384346589 cites W2126512988 @default.
- W4384346589 cites W2133674686 @default.
- W4384346589 cites W2168569455 @default.
- W4384346589 cites W2172070724 @default.
- W4384346589 cites W2466279936 @default.
- W4384346589 cites W2474930743 @default.
- W4384346589 cites W2529868092 @default.
- W4384346589 cites W2575439561 @default.
- W4384346589 cites W2598079956 @default.
- W4384346589 cites W2808857778 @default.
- W4384346589 cites W2897312458 @default.
- W4384346589 cites W2909250895 @default.
- W4384346589 cites W2910889446 @default.
- W4384346589 cites W2968100551 @default.
- W4384346589 cites W3000616040 @default.
- W4384346589 cites W3016154458 @default.
- W4384346589 cites W3034426053 @default.
- W4384346589 cites W3036822332 @default.
- W4384346589 cites W3048427347 @default.
- W4384346589 cites W3049248539 @default.
- W4384346589 cites W3049338919 @default.
- W4384346589 cites W3093679084 @default.
- W4384346589 cites W3096103167 @default.
- W4384346589 cites W3110850177 @default.
- W4384346589 cites W3116658655 @default.
- W4384346589 cites W3125976894 @default.
- W4384346589 cites W3137457055 @default.
- W4384346589 cites W3154262560 @default.
- W4384346589 cites W3159480376 @default.
- W4384346589 cites W3163379652 @default.
- W4384346589 cites W3165398545 @default.
- W4384346589 cites W3166943242 @default.
- W4384346589 cites W3200259039 @default.
- W4384346589 cites W4211248349 @default.
- W4384346589 cites W4213373836 @default.
- W4384346589 cites W4220889533 @default.
- W4384346589 cites W4223592474 @default.
- W4384346589 cites W4224132328 @default.
- W4384346589 cites W4224307852 @default.
- W4384346589 cites W4224309354 @default.
- W4384346589 cites W4224327293 @default.
- W4384346589 cites W4224438971 @default.
- W4384346589 cites W4280618045 @default.
- W4384346589 cites W4283788756 @default.
- W4384346589 cites W4296259652 @default.
- W4384346589 doi "https://doi.org/10.1017/dap.2023.22" @default.
- W4384346589 hasPublicationYear "2023" @default.
- W4384346589 type Work @default.
- W4384346589 citedByCount "0" @default.
- W4384346589 crossrefType "journal-article" @default.
- W4384346589 hasAuthorship W4384346589A5001490352 @default.
- W4384346589 hasAuthorship W4384346589A5023094934 @default.
- W4384346589 hasAuthorship W4384346589A5025423870 @default.
- W4384346589 hasAuthorship W4384346589A5036747803 @default.
- W4384346589 hasAuthorship W4384346589A5041297155 @default.
- W4384346589 hasAuthorship W4384346589A5050985547 @default.
- W4384346589 hasAuthorship W4384346589A5051010495 @default.
- W4384346589 hasAuthorship W4384346589A5070059557 @default.
- W4384346589 hasBestOaLocation W43843465891 @default.
- W4384346589 hasConcept C10138342 @default.
- W4384346589 hasConcept C120665830 @default.
- W4384346589 hasConcept C121332964 @default.
- W4384346589 hasConcept C127413603 @default.
- W4384346589 hasConcept C136764020 @default.
- W4384346589 hasConcept C144024400 @default.
- W4384346589 hasConcept C144133560 @default.
- W4384346589 hasConcept C178790620 @default.
- W4384346589 hasConcept C185592680 @default.
- W4384346589 hasConcept C190248442 @default.
- W4384346589 hasConcept C192209626 @default.
- W4384346589 hasConcept C20136886 @default.
- W4384346589 hasConcept C2522767166 @default.
- W4384346589 hasConcept C2779227376 @default.
- W4384346589 hasConcept C36289849 @default.
- W4384346589 hasConcept C39389867 @default.